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Enregistrement W2176139875 · doi:10.1111/jgs.13813

Healthcare Costs in Older Adults with Diabetes Mellitus: Challenges for Health Systems and for Society

2015· letter· en· W2176139875 sur OpenAlexaff
Armando Arredondo, Raúl Recio Avilés

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Disease Management Strategies
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineDiabetes mellitusEpidemiologyContext (archaeology)Health careGerontologyEnvironmental healthPopulationGlobal healthLatin AmericansPublic healthEconomic growthNursing

Résumé

récupéré en direct d'OpenAlex

To the Editor: Diabetes mellitus and its complications are a great economic challenge for any health system. Many countries have a growing worldwide diabetes mellitus problem. Projections from 2010 to 2030 estimate that diabetes mellitus in adults aged 65 and older will increase by 207% (from 27 million to 83 million cases) in developing countries and by 81% (from 26 million to 47 million cases) in developed countries.1 As a consequence, the global economic burden for diabetes mellitus and comorbid conditions is projected to increase dramatically from 2010 to 2030.2 In this context, using evidence from the Mexican case, the incremental trends of the economic burden of diabetes mellitus in older adults is highlighted. For older adults, in addition to the high costs of health services, the increasing demand for health services in future years complicates the challenges.3 Mexico, like the United States, faces problems with health financing that are generating high expenditures for all involved.4 This study involved evaluative research based on a longitudinal study of epidemiological and economic changes in the Mexican healthcare system caused by diabetes mellitus in older adults. The population base consisted of 4,032,189 older adults diagnosed with diabetes mellitus, as reported in the National Health Survey.5 Information on direct costs was obtained using the instrumentation technique. Indirect costs were determined using a human capital model developed for Latin America, based on premature mortality and temporary and permanent disability attributable to diabetes mellitus.6 To estimate the epidemiological changes for 2014 to 2018, a model was constructed according to the Box-Jenkins technique, 95% confidence intervals, and the Box-Pierce test (P < .001). For primary outcomes, 2015 was the cutoff. Table 1 shows the distribution of total costs. Direct costs represent 44% and indirect costs 56% of total costs. With respect to direct costs, the greatest effect comes from medicines, followed by outpatient services, and to a lesser degree, hospitalization. For the five main complications of diabetes mellitus, the greater effect is for nephropathy, followed by retinopathy, cardiovascular disease, neuropathy, and peripheral vascular disease. With regard to the relative weight of the economic burden according to origin of costs, the greatest economic burden was in out-of-pocket costs; for each $100 spent on diabetes mellitus in Mexico, $52 come out of pocket and $48 from the public health system. The indirect costs are distributed in three categories of estimation: premature mortality (5%), permanent disability (93%), and temporary disability (2%). Diabetes mellitus co-occurs with many other chronic conditions, more so in those aged 65 and older than in those who are younger (6.5 vs 2.9 conditions, respectively, in the United Kingdom).7 The results of the current study, like those from other countries, regarding comorbid conditions show that these add to costs of diabetes mellitus treatment. Governments of developing countries spend less per capita on diabetes mellitus, leaving substantial costs to be paid by other means. In this sense, older adult Mexicans with diabetes mellitus incur large out-of-pocket expenses. Even in the more-affluent United States, Medicare beneficiaries have an annual median out-of-pocket expense of $3,241 per person.8 There is an urgent need for diabetes mellitus prevention efforts worldwide. In Mexico, like in the United States, almost 50% of older adults have prediabetes mellitus. In the United States alone, each day since January 1, 2011, approximately 10,000 adults turned 65—an anticipated trend for the next 17 years.9 There is a need for intensified public health efforts by all countries addressing the unique national and individual burdens associated with diabetes mellitus management and prevention in older adults. This is a priority for the health system and for society. More resources need to be allocated to the design of new strategies to move from a treatment approach to one of prevention. In all countries, there is little or no intervention for the population with prediabetes mellitus.10 By shifting priorities, individuals’ catastrophic expenditures will decrease, and the high costs of temporary disability, permanent disability, and premature death that diabetes mellitus generates in older adults will diminish. New models and programs of care need to be implemented that can respond to the diverse health services that will be needed as a result of the epidemiological transition, particularly for diabetes mellitus and hypertension in older adults. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Author Contributions: Arredondo, Aviles: acquisition of subjects and data, data analysis and interpretation, preparation of manuscript, review of manuscript. Arredondo: study concept and design. Sponsor's Role: None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,028
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,028
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,323
Écart entre enseignants0,289 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2015
Routes d'admission1
Résumé présentoui

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